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Mir Hasan

Mir Hasan

Associate Professor

Computer Science & Information Technology

  • Contact

  • hasanm@apsu.edu
  • 931-221-7856
  • Maynard Math & Computer Sci Room MMCS 227

 

  • Ph.D. in Computer Science, Florida State University

  • M.Sc. in Computer Science, Florida State University

  • B.Sc. in Computer Science and Engineering, University of Dhaka

Dr. Mir Hasan is a tenured Associate Professor in the Department of Computer Science and Information Technology (CSIT) at Austin Peay State University (APSU).

He is passionate about teaching, and love teaching courses in programming, databases, software engineering, web and mobile application development, and cybersecurity.

His research interests encompass the areas of information retrieval, search engines and recommender systems, software engineering, cybersecurity, and computer science education. His work resulted in publications in top venues, such as the ACM Special Interest Group on Computer Science Education (ACM SIGCSE TS), IEEE International Conference on Big Data (IEEE Big Data), Hawaii International Conference on System (HICSS), ACM/SIGIR International Conference on Research & Development in Information Retrieval (ACM SIGIR), IEEE Access, and IEEE/ACM International Conference on Software Engineering (ICSE).

  • Information retrieval

  • Search engines and recommender systems

  • Software engineering

  • Cybersecurity

  • Computer science education

An up-to-date list of publications can be found on Mir Hasan’s Google Scholar Profile.

  • J. Elarde, B. Bruster, and M. Hasan, “Software Orchestration: A Paradigm for Software Development and Security Assessment Using ChatGPT Requirements”,  Journal of Computer Science in Colleges, 2024, Vol. 40, Issue 5, Pages 44–53.

  • B. Bruster, J. Elarde, and M. Hasan, “The CTEEAM Process in Practice: An Evaluation of Its Role in Digital Forensics Education”, Journal of Computing Sciences in Colleges, 2023, Vol. 39, Issue 5, Pages 139-149. 

  • M. Hasan, J. Elarde, and B. Bruster, “Teaching Database Security in an Undergraduate Database Administration Course Serving Computer Science, Information Technology and Cybersecurity Students”, in Proceedings of the 54th ACM Technical Symposium on Computer Science Education (ACM SIGCSE2023), Toronto, ON, Canada, V. 2, pp. 1406.

  • E. Hossain, M. R. Karim, M. Hasan, S. A. Zaoad, T. Tanjim and M. M. Khan, "SPaFE: A Crowdsourcing and Multimodal Recommender System to Ensure Travel Safety in a City," in IEEE Access, vol. 10, pp. 71221-71232, 2022, doi: 10.1109/ACCESS.2022.3187964.

  • S. Zaoad, T. Tanjim, M. Hasan, M. Mamun-Or-Rashid, I. Almansour and M. Khan, "Accelerating Message Passing Operation of GDL-Based Constraint Optimization Algorithms Using Multiprocessing," in Proceedings of the  2021 IEEE International Conference on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021, pp. 706-714.

  • W. Tanner, E. Akbas, and M. Hasan, “Paper Recommendation Based on Citation Relation,” in Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, 2019, pp. 3053-3059.

  • M. Hasan, and D. Schwartz, “A Multi-criteria Decision Support System for Ph.D. Supervisor Selection: A Hybrid Approach,” in Proceedings of the 52th Annual Hawaii International Conference on System Sciences (HICSS’19), Maui, HI, USA, 2019, pp. 1823- 1832.

  • M. Hasan, and D. Schwartz, “RecAdvisor: Criteria-based Ph. D. Supervisor Recommendation,” in Proceedings of the 41st ACM/SIGIR International Conference on Research & Development in Information Retrieval (SIGIR’18), Ann Arbor, MI, USA, 2018, pp. 1325-1328.

  • L. Ponzanelli, G. Bavota, A. Mocci, M. Di Penta, R. Oliveto, M. Hasan, B. Russo, S. Haiduc, and M. Lanza, “Too Long; Didn’t Watch! Extracting Relevant Fragments from Software Development Video Tutorials, Technical Research Track,” in Proceedings of the 38th ACM/IEEE International Conference on Software Engineering (ICSE’16), Austin, TX, USA, 2016, pp. 261-272.

  • S. Imminni, M. Hasan, M. Duckett, P. Sachdeva, S. Karmakar, P. Kumar, and S. Haiduc, “SPYSE: a Semantic Search Engine for Python Packages and Modules,” in Proceedings of the 38th ACM/IEEE International Conference on Software Engineering (ICSE’16), Austin, TX, USA, 2016, pp. 625-628.

  • M. Hasan, and A. Chowdhury, “Human disease diagnosis using a fuzzy expert system,” Journal of Computing, vol. 2, iss. 6, 2010, pp. 66-70.

  • The Socrates Award for Excellence in Teaching, Austin Peay State University (2025).

  • ​​​​​​Outstanding Teaching Assistant Award, Florida State University (2014-2015).

  • Dean’s Award, The Graduate School, Florida State University (2012-2013).